Q.4
Question
Flu vaccine A drug company has developed a new vaccine for preventing the flu. The company claims that fewer than of adults who use its vaccine will get the flu. To test the claim, researchers give the vaccine to a random sample of adults. Of these, get the flu.
(a) Do these data provide convincing evidence to support the company's claim? Perform an appropriate test to support your answer.
(b) Which kind of mistake - a Type I error or a Type II error-could you have made in (a)? Explain.
(c) From the company's point of view, would a Type I error or Type Il error be more serious? Why?
Step-by-Step Solution
Verified(a) No
(b) Type ll error
(c)Type l error
Given in the question that,
Number of trials
Number of success
Population proportion we have to ensure these data provide convincing evidence to support the company's claim.
The formula to complete the test statistic is:
using the information the null and alternative hypothesis are:
Using the Ti-83 calculator the output is:
The p-value is higher than the level of significance. As a result, the non-rejection of the null hypothesis is represented as decision.
There is adequate evidence to support the stated assertion at the significance level.
Given in the question that Flu vaccine A drug company has developed a new vaccine for preventing the flu. The company claims that fewer than of adults who use its vaccine will get the flu. To test the claim, researchers give the vaccine to a random sample of adults. Of these, get the flu. we have to find Which kind of mistake - a Type I error or a Type II error-could you have made in (a).
From above part, the null hypothesis has not been rejected. Thus, there is a possibility of committing the Type ll error.
Given in the question that Flu vaccine A drug company has developed a new vaccine for preventing the flu. The company claims that fewer than of adults who use its vaccine will get the flu. To test the claim, researchers give the vaccine to a random sample of adults. Of these, get the flu. we have to find From the company's point of view, would a Type I error or Type Il error be more serious .
It's likely that more people are acquiring flu as a result of the Type I error than the test indicated. As a result, type I errors are more serious.